摘要
文中介绍了一种基于小波变换的路面不平度分析方法。根据路面不平度样本值,运用AR(AotoRegressive)模型建立路面不平度时间序列,将路面不平度时间序列作为输入,用Bior1.5小波对路面不平度进行分析并得到各层小波功率谱。结果表明,将小波变换引入路面激励的分析中,可以清晰的了解信号的时频特性,更能充分揭示车辆的振动状况。
The paper introduces a analysis method of road surface roughness based on wavelet transform.Time series of road roughness is eatablished by the AR （AotoRegressive） model according to road surface roughness specimens,road roughness time series as the input,using Bior1.5 wavelet analyses road roughness and get each layer of small wave power spectrum.The results indicate that,the wavelet transform is introduced into the analysis of road surface incentive,we can more clear understanding of the signal in frequnecy characteristics,and revealing the vibration of the vehicle situation.
出处
《电子设计工程》
2014年第5期175-177,共3页
Electronic Design Engineering
关键词
AR模型
小波变换
路面不平度
时频特性
AR model
wavelet transform
road surface roughness
frequnecy characteristics
